Throwable

Understanding the tech landscape through an engineer's lens. Helping software engineers expand their scope beyond their code and non-engineers understand the role. Throwing things against the wall. Most are errors, but some might be promises.

The hottest Substack posts of Throwable

And their main takeaways
19 implied HN points 03 Sep 23
  1. Estimating projects is not impossible, but relies on understanding uncertainties and mapping outcomes to a distribution curve.
  2. Providing project estimates as a range with an error rate is a more accurate way than giving a specific date.
  3. Reducing uncertainty in a project can help narrow the estimate range and improve predictability of outcomes.